Expert Systems Engineer, Applied AI & On-Device Technology (Windows / PC Automation))
$147.05k - $230.85kHP Development Company, L.P.
Expert Systems Engineer, Applied AI & On-Device Technology (Windows / PC Automation))
Description - This role focuses on building fast, secure, agentic, and deeply integrated local AI systems on Windows PCs , spanning language, voice, vision, generative, and system-level capabilities. The engineer will design, implement, and scale on-device AI and automation systems that operate directly on real hardware, enabling differentiated PC experiences across multiple software surfaces and real edge devices. The role blends applied AI engineering, Windows systems development, and large-scale device automation , with strong ownership across experimentation, evaluation, and production deployment. *This role requires 4 days per week in the office to support hands-on development, lab operations, and close cross-team collaboration* Responsibilities: On-Device AI & Windows Systems Engineering- Design and build on-device AI systems on Windows using C# and native Windows APIs.
- Develop system-level and agentic automation that can observe, reason, and take actions across the Windows OS and applications.
- Integrate AI capabilities directly into PC workflows, services, and long-running system processes , not cloud-only pipelines.
- Optimize solutions for latency, reliability, security, and hardware constraints (CPU/GPU/NPU, memory, power).
- Build automation frameworks to configure, control, evaluate, and manage large fleets of Windows PCs .
- Automate complex, multi-step PC workflows (installation, configuration, validation, recovery).
- Operate comfortably in environments that require hands-on interaction with real devices , not emulators alone.
- Partner closely with IT, firmware, OS, and platform teams on hardware-software integration issues.
- Create and run rigorous, real-world, automated performance validation on live hardware.
- Define evaluation metrics for accuracy, robustness, latency, and regression detection .
- Design experimentation pipelines that scale across physical labs of devices .
- Leverage and help evolve the team's automation lab infrastructure for continuous validation.
- Lead complex, ambiguous projects with high autonomy , from incubation to production.
- Drive disciplined, practical incubation with a strong bias toward production impact across multiple surfaces .
- Mentor engineers in on-device AI, Windows systems engineering, and automation best practices.
- Document architectures, experiments, and design decisions to raise the organization's technical bar.
• Bachelor's degree in engineering, computer science, information technology or a related field. Required Technical Skills
- C# and .NET for production systems development
- Deep Windows expertise (OS internals, services, processes, APIs, tooling)
- On-device AI systems (local inference, system integration, hardware-awareness)
- Agentic and tool-driven automation systems for orchestrating multi-step PC workflows
- System-level debugging and performance analysis
- Automation, testing, and evaluation frameworks operating on real hardware
- Strong understanding of secure and reliable system design
- Managing and automating fleets of physical Windows PCs
- System-level AI or automation running continuously on end-user devices
- Evaluation labs, hardware farms, or large-scale automation environments
- Voice, vision, or multimodal AI systems operating locally
- Shipping deeply integrated AI features used at scale
- Build models, agentic systems, and real hardware experiments for software product improvement
- Operate both bottom-up incubation and top-down AI innovation
- Choose missions that drive future success of HP's PC business
- Move fast, but with rigorous, real-world validation
- Owns critical on-device AI and automation systems that directly shape PC experiences
- Influences architecture, tooling, and evaluation standards across teams
- Leads initiatives that span product, platform, hardware, and infrastructure boundaries
- Health insurance
- Dental insurance
- Vision insurance
- Long term/short term disability insurance
- Employee assistance program
- Flexible spending account
- Life insurance
- Generous time off policies, including;
- 4-12 weeks fully paid parental leave based on tenure
- 11 paid holidays
- Additional flexible paid vacation and sick leave (US benefits overview)
Software Schedule -
Full time Shift -
No shift premium (United States of America) Travel -
No Relocation -
Yes
Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"
Vacancy posted 4 days ago
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